A Predictive Model of Pressure Injury in Children Undergoing Living Donor Liver Transplantation Based on Machine Learning Algorithm.

Journal: Journal of advanced nursing
Published Date: Jun 1, 2025

Abstract

AIMS: The aim of our study was to formulate and validate a prediction model using machine learning algorithms to forecast the risk of pressure injuries (PIs) in children undergoing living donor liver transplantation (LDLT).

Authors

  • Xiaomei Chen
    Department of Rheumatology and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
  • Shi Tang
    Department of Nursing, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
  • Yanwen Qin
    Key Laboratory of Upper Airway Dysfunction-related Cardiovascular Diseases, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Sui Zhou
    Department of Nursing, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
  • Lina Zhang
    Intensive Care Unit, XiangYa Hospital, Central South University, Changsha, China.
  • Yile Huang
    Department of Nursing, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
  • Zheying Chen
    Department of Nursing, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.

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